While AI sucks up all the oxygen, other transformative technologies are quietly moving from labs to reality. From batteries that are also car frames to European laws forcing accessible design, the future is being built right now. These trends have massive implications for energy, security, and how w
For the third year running, VCs are telling TechCrunch that next year is when enterprise AI will finally deliver. Their 2026 predictions focus on consolidation, physical-world AI, and a brutal shakeout for startups that can’t prove real ROI.
AI agents are moving out of labs and into daily workflows, automating complex tasks. This shift demands a new set of skills and a fundamental rethinking of professional roles. The challenge is to adapt or risk being left behind.
Scribe, a workflow documentation startup, just raised a $75 million Series C. The company argues that AI implementation is failing because businesses lack the foundational process data. Its new product, Scribe Optimize, aims to solve that.
Tech leaders argue the information era is over, replaced by an “intelligence era” powered by AI. The key to navigating it? Thinking about your company’s data in terms of tokens, the new atomic unit of business value.
AI-powered stuffed animals are giving children dangerous advice, from how to light matches to detailed sexual concepts. Despite suspensions, the toys are back online with newer AI models, highlighting a critical failure in safety enforcement.
A new report highlights a major shift in how AI is being adopted in the workplace. It’s not about job replacement, but about creating new, more strategic roles and unlocking trillions in economic value through human-AI collaboration.
According to a new analysis, worldwide AI spending in 2025 is forecast to hit $1.5 trillion, a figure comparable to the direct cost of the US wars in Iraq and Afghanistan. Yet, with use cases still largely limited to chatbots and unproven “agents,” enterprises are beginning to delay investments as t
AlphaFold2, launched in November 2020, solved a 50-year-old grand challenge in biology. Now, its database is used by 3.5 million researchers globally, but the journey to AlphaFold 3 isn’t without its hiccups.
According to a Fortune survey, CFOs from companies like ServiceNow, HPE, and Workday predict 2026 will be the year AI moves from promise to proof in finance. The focus shifts from experimentation to scaling solutions, with a heavy emphasis on data governance and strategic transformation over mere ef
